The meteorite Bishunpur, which fell to Earth in 1895 in the Indian Indian state of Uttar Pradesh, could shed light on the magnetism at the beginning of the universe. In order to unravel the secrets of the meteorite, scientists at Research Centre Jülich, together with experts from England and Norway, have investigated the material using electron holography.
The increased use of renewable energy sources, such as wind and solar energy, raises the importance of energy conversion and storage. Candidates offering a high energy conversion efficiency and excellent fuel flexibility are solid oxide electrolysis cells and fuel cells. The working group of JARA-ENERGY member Prof. Manfred Martin researches in this field and focuses on the investigation of doped ceria.
Manufacturing processes in industry are subject to various challenges. The manufactured parts are not only to be produced without defects, but the process itself should also not be expensive and require a short period of time.
The Institute of General Mechanics, headed by JARA-ENERGY member Prof. Bernd Markert, is investigating a promising process for forming processes such as those occurring in the automotive industry.
Dr. Johannes Teyssen, Chairman of the Board of Management of E.ON SE, spoke to his audience last Thursday in a charming, approachable and pointed speech. In the context of the JARA-ENERGY Talks, the energy expert was given the framework to talk about a central theme of the energy transition. Around 120 listeners, including many citizens, scientists and representatives of industry, listened to his speech and then asked questions on the subject.
The human brain is an organ of incredible complexity, composed of a hundred billion interconnected nerve cells. However, even with the help of the most powerful supercomputers available, it is currently impossible to simulate the exchange of neuronal signals in networks of this size. Researchers of Forschungszentrum Jülich, Germany, RIKEN, Kobe and Wako, Japan, and the KTH Royal Institute of Technology, Stockholm Sweden, have made a decisive step towards creating the technology to achieve simulations of brain-scale networks on future supercomputers of the exascale class. Simultaneously, the new algorithm significantly speeds up brain simulations on existing supercomputers.
